class Word2VecModel extends Serializable with Saveable
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- new Word2VecModel(model: Map[String, Array[Float]])
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- @Since("1.5.0")
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- def findSynonyms(vector: Vector, num: Int): Array[(String, Double)]
Find synonyms of the vector representation of a word, possibly including any words in the model vocabulary whose vector representation is the supplied vector.
Find synonyms of the vector representation of a word, possibly including any words in the model vocabulary whose vector representation is the supplied vector.
- vector
vector representation of a word
- num
number of synonyms to find
- returns
array of (word, cosineSimilarity)
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- @Since("1.1.0")
- def findSynonyms(word: String, num: Int): Array[(String, Double)]
Find synonyms of a word; do not include the word itself in results.
Find synonyms of a word; do not include the word itself in results.
- word
a word
- num
number of synonyms to find
- returns
array of (word, cosineSimilarity)
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- @Since("1.1.0")
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- def getVectors: Map[String, Array[Float]]
Returns a map of words to their vector representations.
Returns a map of words to their vector representations.
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- def hashCode(): Int
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- def save(sc: SparkContext, path: String): Unit
Save this model to the given path.
Save this model to the given path.
This saves:
- human-readable (JSON) model metadata to path/metadata/
- Parquet formatted data to path/data/
The model may be loaded using
Loader.load.- sc
Spark context used to save model data.
- path
Path specifying the directory in which to save this model. If the directory already exists, this method throws an exception.
- Definition Classes
- Word2VecModel → Saveable
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- @Since("1.4.0")
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- def toString(): String
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- def transform(word: String): Vector
Transforms a word to its vector representation
Transforms a word to its vector representation
- word
a word
- returns
vector representation of word
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- @Since("1.1.0")
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- Deprecated
(Since version 9)